Stop model resources
Stops the model resource and releases its allocated compute. If active training sessions are attached, the request fails unless force=true. A forced stop also stops all attached training sessions.
Authorizations
Bearer authentication header of the form Bearer <token>, where <token> is your auth token.
Path Parameters
ID of the model resource
Query Parameters
When true, also stop all attached training sessions. When false, the request fails if any training sessions are active.
Response
Model resource details
Allocated GPU resources that training sessions attach to
Unique identifier for the model resource
"123e4567-e89b-12d3-a456-426614174000"
Lifecycle status of the model resource
MODEL_RESOURCES_STATUS_PENDING, MODEL_RESOURCES_STATUS_CREATING, MODEL_RESOURCES_STATUS_READY, MODEL_RESOURCES_STATUS_ERROR, MODEL_RESOURCES_STATUS_STOPPED, MODEL_RESOURCES_STATUS_STOPPING "MODEL_RESOURCES_STATUS_READY"
Base model the resource is provisioned for
"Qwen/Qwen3.5-4B"
Compute layout provisioned for the resource.
Whether the resource hosts LoRA sessions or a full-weight session
true
Timestamp when the model resource was created
"2026-01-02T00:00:00Z"
Timestamp when the model resource was last updated
"2026-01-02T00:00:05Z"
Optimizer configuration for this resource.
ID of the user who created the model resource
"user_123"
Structured detail for the model resource's current error. Set when the resource is in an error state.
Model-registry model whose weights the resource trains in place of the base model's own, pinned to the revision resolved when the resource was created. Absent when the resource trains the base model's own weights.
"together://ml_A1b2C3d4E5f6G7h8I9j0K@rv_A1b2C3d4E5f6G7h8I9j0K"